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Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation (eBook)

MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings
ISBN: 978-3-031-76163-8
GTIN: 9783031761638
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023.

The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.

This book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023.

The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.

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AutorBaid, Ujjwal (Hrsg.) / Dorent, Reuben (Hrsg.) / Malec, Sylwia (Hrsg.) / Pytlarz, Monika (Hrsg.) / Su, Ruisheng (Hrsg.) / Wijethilake, Navodini (Hrsg.) / Bakas, Spyridon (Hrsg.) / Crimi, Alessandro (Hrsg.)
VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2024
Seitenangabe397 S.
AusgabekennzeichenEnglisch
AbbildungenXII, 397 p. 128 illus., 109 illus. in color.
Masse65'865 KB
PlattformPDF
ReiheLecture Notes in Computer Science
ISBN978-3-031-76163-8

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